Study On The Dynamic Monitoring System Of Plant Phenotype Based On Multi-lysimeters

Crop phenotype refers to the sum of all traits of individuals with a specific genotype in a certain environment through growth and development.It is an important bridge between gene and environment.The research on phenotype in China started late,and it is still a long way from developed countries.Therefore,the research and development of crop phenotype monitoring platform with independent intellectual property rights is of great significance for accelerating the breeding process and monitoring and development of precision agriculture in China.In this topic,the high efficiency plant phenotype monitoring technology based on multi-lysimeter is studied by using image acquisition,image processing and so on.1.The crop phenotype and evapotranspiration monitoring system with weighting lysimeter and various sensors is studied.Based on 24 small weighing lysimeters,integrated RGB imaging sensor,multispectral imaging sensor and 2D laser scanner are integrated with a gantry to control the movement in order to build weighing lysimeter plant phenotypic monitoring system,realizing automatic monitoring of 18 m~2image information and plant height information during plant growth period,and the experimental verification is passed.2.In order to acquire phenotypic information later,the phenotypic images acquired by the system are registered.Useing SURF(Speeded-Up Robust Features)algorithm to extract the feature points of RGB images and multispectral images,and use the nearest neighbor method to rough registration of feature points.In order to eliminate the mismatched feature points,the traditional RANSAC(RANdom Sample Consensus)algorithm is used to accurately register feature points.The R-RANSAC algorithm with SPRT is used to replace the traditional RANSAC algorithm for accurate registration of feature points.By comparing the results of the two registration results,it is proved that the R-RANSAC algorithm with SPRT can obviously reduce the mismatch rate.3.The basic phenotypic information of crops is obtained.Through the analysis of RGB image of winter wheat,combined with meteorological station data,the evapotranspiration of its main water consumption period is estimated,and compared with the actual evapotranspiration obtained by the lysimeter.The multispectral image of summer maize is analyzed to obtain crop indices such as normalized difference vegetation index(NDVI)and so on,and weed identification of summer maize at seedling stage is carried out.The plant height information of summer maize is obtained by processing data of two-dimensional laser scanner.4.The acquisition of other phenotypic information is studied.In order to obtain more comprehensive,rich and accurate crop phenotypic information,after registration of crop images obtained by the system,the weighted average image fusion algorithm is used to mosaic the RGB images of summer maize to form panoramic image,and the multispectral images of summer maize are fused by wavelet transform to form multisource image.